This paper is developed an optimization design methodology for LEO satellite constellation based on a constrained multi-objective
evolutionary algorithm. The main contributions are listed in the following:
Dai, Multi-objective optimization of an organic rankine cycle (orc) for low grade waste heat recovery using
evolutionary algorithm, Energy Conversion and Management 71 (2013) 146-158.
An
evolutionary algorithm is used for solving the problem.
Coello Coello, "MRMOGA: A new parallel multi-objective
evolutionary algorithm based on the use of multiple resolutions," Concurrency and Computation: Practice and Experience, vol.
Lamont, "On measuring multi-objective
evolutionary algorithm performance," in Proceedings of the 2000 Congress on Evolutionary Computation, pp.
So that, for the need of clustering,
Evolutionary Algorithm (EA) is employed this is pointed by means of pKwikCluster algorithm [70].
Several optimization methods that combine preferences with multiobjective
evolutionary algorithms have been proposed; see, for example, [4-19].
The TMED [15] is a kind of sequential experimental design inspired by
evolutionary algorithms. In this algorithm, we first determine the number of data points we want to extract based on limitations such as cost and time (call this number M).
[2] performed two-objective and five-objective optimization using advanced
evolutionary algorithms and particle swarm optimization, which resulted in numerous effective trade-offs between conflicting objectives, including seat acceleration, front tire velocity, rear tire velocity, relative displacement between sprung mass and front tire, and relative displacement between sprung mass and rear tire, for a five-degree-of-freedom vehicle vibration model.